Research Scientist

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Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.
 

Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning?

Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team:

Candidates have a strong background in one or more of the following areas:

• Agentic AI & Reasoning: LLM-powered agents, reinforcement learning, and autonomous workflows.

• Multimodal & Computer Vision: Vision-language models (VLM), video understanding, and visual grounding for GUI agents.

• Speech Intelligence: Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.

• Efficient Systems: Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.

• Core Modeling: Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.

Responsibilities:

• Own and pursue ambitious research and engineering goals aligned with strategic initiatives.

• Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.

• Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.

• Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

Minimum Qualifications:

• Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

• A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) OR a proven track record of shipping AI products to real users.

• Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.

• Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).

• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred Qualifications:

• Full-time industry experience in deep learning research and/or product development.

• Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.

• Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).

• Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.

• Thoughtful about AI impacts, trust, and ethics.

• Outstanding communication, collaboration, and problem-solving skills.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $114,200 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $137,100 - $334,600 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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